• Employed SQL to query cloud data and created interactive Tableau dashboards to scrutinize sales metrics for digestive health products; conducted market analysis to devise recommendations for product growth across various platforms and regions.• Categorized customer segments and applied multivariate regression models in Python to elucidate the relationship between pricing strategies and profit; delivered tailored promotional strategies to Unilever’s Strategic Marketing team. • Performed Python scripts to capture and analyze top posts through keyword extraction for L'Oréal on social media platforms, distilling consumer trends and uncovering preferences and habits within 3 main beauty sectors.

• Boosted scrap management efficiency by 10% at over 60 sites through the development of Smartsheet-driven reports and Tableau dashboards, improving reporting accuracy and operational visibility. • Streamlined SOPs to align with industry standards, enhancing scrap management and material tracking; cultivated proficiency in SAP and Rapid Response, informing robust tool creation for global supply chain optimization.

QTM 110: Introduction to Scientific Methods

Undergraduate Research Fellowship Program

• Collected and curated 7 years of fiscal data from over 150 government websites, standardizing and structuring the information for a consolidated database geared towards advanced modeling and analysis.• Leveraged regression models in R to predict the debt repayment ability of local governments; partnered with the Financial Service team to derive insights and estimate the credit rating of local investment companies. • Collaborated on weekly project progress reports and published over 10 articles to enhance stakeholder communication.